To create a deep-learning based system to detect and store information of traffic violators in a database hosted on a website to collect proof and number plates of the criminals simultaneously.
4) Labling of images was implemented using labelImg
1)Intial dataset consisted of 100 images which were expanded using image processing tecniques using OpenCV
2) We used labelImg to gentrate labled .txt file
3) Seraching for proper training parameters was toughest part, after multiple experiments and advice for mentors we were able to fix parameters like learning rate,no of steps for training and much more
7) it was deployed on Django because it is written in python,OpenCv can used with Django and it has many inbuilt fetures to aid the process of integration and built the website
Go to https://platerecognizer.com/ and get your credentials
pip install -r requirements.txt
python manage.py createsuperuser (create a super user to acess admin page)
python manage.py runserver